TensorFlow: Working with NLP

Offered By: LinkedIn Learning

Tags

TensorFlow Courses BERT Courses Transfer Learning Courses Transformers Courses Transformer Architecture Courses Self-Attention Courses Fine-Tuning Courses

Course Description

Overview

Learn about using transformers in natural language processing with TensorFlow.

Syllabus

Introduction

Why TensorFlow?
What you should know
What is TensorFlow?

1. NLP and Transformers

What is NLP?
Transformers, their use, and history
Transformers for NLP
Challenge: NLP model size
Solution: NLP model size

2. BERT and Transfer Learning

Bias in BERT and GPT
How was BERT trained?
Transfer learning

3. Transformers and BERT

Transformer: Architecture overview
BERT model and tokenization
Tokenizers
Self-attention
Multi-head attention and feedforward network
Fine-tuning BERT

Conclusion

Next steps

Taught by

Jonathan Fernandes

Related Courses

Generative AI Language Modeling with Transformers
IBM via Coursera Transformer Models and BERT Model - Deutsch
Google Cloud via Coursera Generative AI: Introduction to Large Language Models
LinkedIn Learning Generative AI: Working with Large Language Models
LinkedIn Learning Transformers: Text Classification for NLP Using BERT
LinkedIn Learning